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251. Weak Convergence and Empirical Processes: With Applications to Statistics
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252. Weak Convergence and Empirical Processes: With Applications to Statistics (Springer Series in Statistics)
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253. Weak Convergence and Empirical Processes: With Applications to Statistics
by van der Vaart, A. W., and Wellner, Jon A.
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254. Weak Convergence and Empirical Processes: With Applications to Statistics (Springer Series in Statistics)
by Van Der Vaart, A. W.
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255. Measure-Valued Branching Markov Processes (Probability Theory and Stochastic Modelling, 103)
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256. Model-Based Clustering, Classification, and Density Estimation Using McLust in R
by Scrucca, Luca, and Fraley, Chris, and Murphy, T Brendan
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257. Weak Convergence and Empirical Processes: With Applications to Statistics (Springer Series in Statistics)
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258. Model-Based Clustering, Classification, and Density Estimation Using McLust in R
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259. Model-Based Clustering, Classification, and Density Estimation Using McLust in R
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260. Model-Based Clustering, Classification, and Density Estimation Using McLust in R
by Scrucca, Luca, and Fraley, Chris, and Murphy, T Brendan
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261. Model-Based Clustering, Classification, and Density Estimation Using McLust in R
by Scrucca, Luca, and Fraley, Chris, and Murphy, T Brendan
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262. Model-Based Clustering, Classification, and Density Estimation Using McLust in R
by Scrucca, Luca, and Fraley, Chris, and Murphy, T Brendan
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263. Model-Based Clustering, Classification, and Density Estimation Using McLust in R
by Luca Scrucca
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264. Model-Based Clustering, Classification, and Density Estimation Using mclust in R
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265. Applied Probability
by Valérie Girardin; Nikolaos Limnios
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